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Abstract #3281

Stable, Dynamic & Variable Functional Networks

Suresh Emmanuel Joel1, Anand Narasimha Murthy1, Ek T. Tan2, Dattesh D. Shanbhag1, John F. Schenck2, Rakesh Mullick1

1Diagnostics and Biomedical Technologies, General Electric Global Research, Bangalore, Karnataka, India; 2Diagnostics and Biomedical Technologies, General Electric Global Research, Niskayuna, NY, United States


Differences in functional networks have been used to understand brain in health and disease. Variability in functional networks can be due to disease, state (of mind) or trait. Here we study intra-subject and inter-subject reproducibility and classify in to a) networks that are highly reproducible within and across subjects making them good candidates for studying changes associated with disease, b) networks that are variable within subjects making them good candidates for studying state and c) networks that are variable between subjects making them good candidates for studying traits.

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